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assess_credit_position

Analyze credit reports with cash position and covenant data to determine lending readiness, risk factors, capacity estimates, and cross-sell opportunities.

Instructions

Assess combined credit + cash flow lending readiness. Integrates credit reports with cash position and covenant data to produce an overall credit rating, risk factors, lending capacity estimate, and cross-sell opportunities. Args: annual_gross_income (combined guarantor income for DTI calc, 0 to skip).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
annual_gross_incomeNo
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses the computational synthesis performed and the outputs produced (credit rating, risk factors, lending capacity, cross-sell opportunities), but omits critical behavioral traits: whether this triggers live credit inquiries vs. cached data, persistence of results, or idempotency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three efficiently structured sentences: purpose statement first, integration details second, and parameter documentation third. The 'Args:' inline documentation is slightly informal but appropriately concise given the single parameter and complete lack of schema descriptions. No wasted text.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description commendably lists expected return values (credit rating, risk factors, lending capacity, cross-sell opportunities). It also clarifies implicit inputs (external data sources). Minor gap: doesn't explain the impact of 'skipping' income calculation on output quality.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, leaving the description to carry full documentation load. It excellently compensates by explaining the parameter's semantic meaning ('combined guarantor income'), its computational purpose ('for DTI calc'), and control flow ('0 to skip')—adding complete semantic value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Specific verb sequence ('Assess' + 'Integrates') and clear resource scope ('credit + cash flow lending readiness'). Explicitly distinguishes from siblings like parse_credit_report and get_cash_position by emphasizing the integration of multiple data sources (credit reports, cash position, covenant data) into a unified assessment.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear contextual positioning by listing the specific data sources it synthesizes (credit reports, cash position, covenant data), implying this is the holistic assessment tool versus specialized alternatives. However, lacks explicit 'when not to use' or prerequisite guidance (e.g., whether parse_credit_report must be called first).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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